Data Engineering at Verisk Specialty Business Solutions

, , India -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, ETL, RDMS, Postgres, AWS, CI/CD, GIT, BitBucket, Snowflake, Data Mapping, Data Dictionary, Data Assets, Communication Skills, Analytical Skills, Data Warehousing, Linux Shell Scripting

Industry

Information Services

Description

As a technical lead, you will design, build, and operate scalable data platforms in AWS while also guiding engineers through best practices, code quality, and delivery excellence. You will work closely with product owners, architects, and stakeholders to translate business requirements into robust, production-grade data solutions. Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk [https://www.verisk.com/company/about/] and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. Our Culture [https://www.verisk.com/company/csr/social/our-culture/]: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition [https://www.verisk.com/company/newsroom/topics/culture/]: See why Verisk is consistently recognized as a Great Place to Work™ around the world. Our Businesses [https://www.verisk.com/solutions/]: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. Life at Verisk [https://www.linkedin.com/company/verisk-analytics/life]: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk [https://www.verisk.com/company/careers/]: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let’s build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ [https://www.verisk.com/company/careers/] Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice [https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf]

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Responsibilities

As a technical lead, the role involves designing, building, and operating scalable data platforms in AWS while guiding engineers on best practices and code quality. The individual will collaborate with stakeholders to translate business requirements into robust, production-grade data solutions.